Delta Lake
Delta Lake's public stream is release mechanics; Kernel builds now carry a 4.5.0 label.
Comparison · Analytics
Count vs Keboola
A side-by-side editorial comparison of Count and Keboola — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:mcp
Count vs Keboola: at a glance
What is Count?
Count's agent now shows the chain of cells and assumptions behind every answer it gives.
Count is a data-canvas analytics tool organized around an AI agent. Its late-October release added Reasoning Chains, which link each claim and chart in an agent answer back to the cells, sources and assumptions behind it. Over the summer it rebuilt the agent with web data and auto layout, moved Python to a server sandbox with any PyPI package, and added longer agent conversations, a faster empty-canvas start and catalog views that stay populated while they refresh.
What is Keboola?
Keboola connects GitHub organizations once, ending personal tokens for private repos.
Keboola now lets a GitHub organization connect once through the Keboola GitHub App, so dbt, Custom Python and Apps can clone private repositories without personal access tokens. It follows a run of governance work: Branched Storage enabled on all stacks from November 2, a read-only query_data tool in the MCP server, patched data app images, and scheduled cleanup of idle workspaces.
Count vs Keboola: editorial side-by-side
Count
6.3ANALYTICS
Count's agent now shows the chain of cells and assumptions behind every answer it gives.
◆ Current state
Count is a data-canvas analytics tool organized around an AI agent. Its late-October release added Reasoning Chains, which link each claim and chart in an agent answer back to the cells, sources and assumptions behind it. Over the summer it rebuilt the agent with web data and auto layout, moved Python to a server sandbox with any PyPI package, and added longer agent conversations, a faster empty-canvas start and catalog views that stay populated while they refresh.
◆ Where it's heading
Count is making the agent the main way to work in the canvas, then adding the checks that let people trust its output. Reasoning Chains and server-side Python with managed secrets point at analysis that can be audited and run on real data. Steady fix lists for agent edits show the agent is still being hardened.
◆ Prediction
Expect more ways to inspect and correct agent work, building on Reasoning Chains. The entries don't show whether chains will extend to Slack answers.
Keboola
5.0ANALYTICS
Keboola connects GitHub organizations once, ending personal tokens for private repos.
◆ Current state
Keboola now lets a GitHub organization connect once through the Keboola GitHub App, so dbt, Custom Python and Apps can clone private repositories without personal access tokens. It follows a run of governance work: Branched Storage enabled on all stacks from November 2, a read-only query_data tool in the MCP server, patched data app images, and scheduled cleanup of idle workspaces.
◆ Where it's heading
Most recent releases remove risky defaults: shared tokens, write access for AI agents, stale workspaces and unpatched images. Keboola is tightening the platform for larger teams and agent use rather than adding new components.
◆ Prediction
Expect more credential and permission cleanups, such as other app-based integrations replacing tokens, and the February 2027 removal of emailed API tokens to go ahead.
Alternatives to Count and Keboola
Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Count or Keboola.
Grafana Loki
Loki 4.0 RC strips out legacy storage backends and the simple scalable mode.
OpenObserve
OpenObserve 1.2.0-rc1 opens a metrics v2 cycle with chart alerts and forecasts.
dbt Core
dbt-core 1.13 drops Python 3.10 and learns to tolerate v2-only project config.
Chord
Chord adds Amazon Conversions API to its CDP destinations as the catalog keeps widening.
Fulcrum
Fulcrum turns on Insights, its AI assistant for field data, for every customer.
See all Count alternatives → · See all Keboola alternatives →
Recent activity from Count and Keboola
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2d agoKeboolaConnect GitHub repositories without personal tokens
- 6d agoKeboolaSecurity Update for Python/JS and Streamlit Data Apps
- 6d agoCountReasoning Chains ⚡
- 7d agoKeboolaBranched Storage is being enabled on all projects
- 8d agoKeboolaSwitch Keboola to Dark Mode
- 9d agoKeboolaDark mode for the Keboola interface
- 10d agoKeboolaUnused Workspaces Will Be Cleaned Up Automatically
- 20d agoCountLonger agent conversations
- 1mo agoCountNo gaps while catalog views refresh
- 2mo agoCountSSO sign-in banner and clearer SQL Server errors
- 2mo agoCountA faster start from an empty canvas
- 3mo agoCountNew sign-in and sign-up
Frequently asked questions
What is the difference between Count and Keboola?
Both compete on the same themes — mcp — within Analytics. Count is currently shipping more aggressively (velocity 6.3 vs 5.0), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is Count better than Keboola?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Count is currently shipping more aggressively (velocity 6.3 vs 5.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to Count?
Top Count alternatives in Analytics are ranked by recent ship velocity. Browse the "Count alternatives" section above for the current picks, or visit /alternatives/count for the full list with editorial commentary on each.
What are the best alternatives to Keboola?
Top Keboola alternatives in Analytics are ranked by recent ship velocity. Browse the "Keboola alternatives" section above for the current picks, or visit /alternatives/keboola for the full list with editorial commentary on each.